A New Unsupervised Validation Index Model Suitable for Energy-Efficient Clustering Techniques in VANET

• Main Authors: Abdulrazzak H.N., Hock G.C., Mohamed Radzi N.A., Tan N.M.L.
• Other Authors: 57210449807
• Format: Article
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: cluster index validation; Clustering analysis; energy clustering algorithms; K-means; unsupervised learning; VANET clustering; Cluster analysis; Energy efficiency; Graphic methods; Heuristic algorithms; Quality control; Unsupervised learning; Vehicular ad hoc networks; Cluster index validation; Clusterings; Energy; Energy clustering algorithm; Heuristics algorithm; Index; Partitioning algorithms; Vehicular Adhoc Networks (VANETs); Clustering algorithms
• Institution: Universiti Tenaga Nasional

Clustering evaluation techniques are important to check the clustering algorithm quality. High cluster similarity help to reduce the distance between a node to node within the cluster, also good separation was more important to avoid overlapping clusters. The network performance will increase and th...